no code implementations • 8 Mar 2024 • Lucas Farndale, Chris Walsh, Robert Insall, Ke Yuan
Multimodal self-supervised representation learning has consistently proven to be a highly effective method in medical image analysis, offering strong task performance and producing biologically informed insights.
no code implementations • 4 Dec 2023 • Lucas Farndale, Robert Insall, Ke Yuan
We present TriDeNT, a novel self-supervised method for utilising privileged data that is not available during inference to improve performance.
no code implementations • 19 Mar 2023 • Lucas Farndale, Robert Insall, Ke Yuan
Medical imaging technologies are generating increasingly large amounts of high-quality, information-dense data.